Marketing professors joined QuantHub for a roundtable on how AI is reshaping marketing education. Faculty discussed responsible AI use, critical thinking, assessment strategies, human judgment, and the skills students need to succeed in an AI-enabled workforce.
Which AI tools should college students and recent graduates know before entering the workforce? Explore the platforms, AI skills, and practical capabilities employers increasingly value in entry-level talent.
Meet the students selected for the 2026 Alabama Data Scholars program, where emerging talent gains hands-on experience through paid AI and data internships with industry partners.
Digital Promise and QuantHub are partnering to expand digital fluency across K–12 career pathways. Explore how the partnership is connecting AI, data science, cybersecurity, durable skills, and career-connected learning to help prepare students for a technology-enabled workforce.
AI can make learning faster and more efficient, but what happens when it removes the struggle that builds expertise? Explore why higher education must balance AI fluency with domain mastery, independent thinking, and the cognitive friction students need to develop lasting judgment.
Explore why AI critical thinking is essential in higher education and how faculty can teach students to evaluate, question, and verify AI-generated content while strengthening independent reasoning and responsible AI use.
Explore how QuantHub’s free CRI pathway helps Alabama CTE students build career-ready AI and data skills while giving educators an accessible, easy-to-implement credentialing option.
AI literacy is becoming an essential part of higher education as colleges prepare students, faculty, and staff to work effectively with rapidly evolving AI technologies. This article explores what AI literacy training includes, why it matters across campus, and how institutions can build practical AI fluency across disciplines, programs, and roles.
From MIS student to QuantHub AI Engineer: Sam Riddle shares how foundational coding skills, human judgment, and continuous learning help developers navigate the rise of generative AI.
Information systems leaders and faculty explore how higher education is shifting from preventing AI use to teaching AI fluency. Discover how universities are aligning coursework with workforce expectations to ensure students gain practical AI skills alongside critical thinking and reasoning.
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